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Senior Data Analyst

TripleLift

TripleLift

IT, Data Science
New York, NY, USA
Posted on Wednesday, April 17, 2024

About TripleLift

We're TripleLift, an advertising platform on a mission to elevate digital advertising through beautiful creative, quality publishers, actionable data and smart targeting. Through over 1 trillion monthly ad transactions, we help publishers and platforms monetize their businesses. Our technology is where the world's leading brands find audiences across online video, connected television, display and native ads. Brand and enterprise customers choose us because of our innovative solutions, premium formats, and supportive experts dedicated to maximizing their performance.

As part of the Vista Equity Partners portfolio, we are NMSDC certified, qualify for diverse spending goals and are committed to economic inclusion. Find out how TripleLift raises up the programmatic ecosystem at triplelift.com.

The Team:

The Data Science team is responsible for analyzing our data and deriving actionable insights and models to help push our business forward. The type of projects include improving our prediction models, modeling users and segments in privacy-protecting ways, and running various experiments to understand our real time bidding marketplace.

The Role:

TripleLift, a fast-growing startup tackling some of the most challenging problems in the world of digital advertising, is seeking a highly skilled and experienced Senior Data Analyst to join our Data Science team. The Senior Data Analyst will play a crucial role in analyzing complex datasets, deriving actionable insights, and providing strategic recommendations to drive informed decision-making across the organization. The ideal candidate will have a strong background in statistical analysis, data manipulation, and data visualization techniques. They should possess excellent problem-solving skills, attention to detail, and the ability to communicate findings effectively to stakeholders at all levels.

Responsibilities:

  • Perform in-depth analysis of large, complex datasets to identify trends, patterns, and correlations
  • Develop and implement advanced analytical models and algorithms to extract meaningful, actionable, insights from data
  • Collaborate with cross-functional teams to define project objectives, data requirements, and analytical approaches
  • Design and execute experiments to test hypotheses and evaluate the effectiveness of business strategies
  • Interpret and communicate findings through insightful reports, presentations, and data visualizations
  • Provide strategic recommendations based on data-driven insights to support decision-making processes
  • Conduct ad-hoc analyses, provide guidance on analytical techniques and best practices, and provide analytical support to various departments as needed
  • Contribute to the development and enhancement of data infrastructure, including data collection, storage, and retrieval systems
  • Stay up-to-date on emerging trends, tools, and technologies in data analysis and data science

Qualifications:

  • Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field. Master's degree preferred
  • Minimum of 4 years of experience in data analysis, with a proven track record of delivering actionable insights and driving business impact
  • Proficiency in SQL for data extraction and manipulation
  • Experience with Python or R for statistical analysis and modeling
  • Strong analytical and quantitative skills, with expertise in statistical methods, hypothesis testing, and regression analysis
  • Experience working with large datasets and using data visualization tools such as Looker, Power BI, or Matplotlib
  • Solid understanding of data warehousing concepts and experience working with relational databases (e.g., MySQL, PostgreSQL)
  • Familiarity with monitoring and measuring statistical modeling performance with ability to quickly build dashboards using tools like Grafana, Looker, etc
  • Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
  • Ability to work independently and collaboratively in a fast-paced environment, managing multiple priorities and deadlines effectively
  • Strong attention to detail and a commitment to delivering high-quality work

Additional Preferred Skills:

  • Knowledge of machine learning techniques and algorithms
  • Prior AdTech experience
  • Familiarity with big data technologies such as Spark or Kafka
  • Experience with cloud platforms such as AWS, or other cloud platforms
  • Certification in data analysis, data science, or related field (e.g., Certified Analytics Professional, Data Science Certification)

Technologies

From our early days, we’ve always believed in using the right tools for the right job and continue to explore new technology options as we grow. The Data Science team uses the following technologies at TripleLift:

  • Languages: Python
  • Frameworks: Spark, DataBricks, ONNX, Docker, Airflow
  • Databases: MySQL, Snowflake, S3/Parquet
  • Amazon Web Services to keep everything running

#LI-TP1

US Jobs: The base salary range represents the low and high end of the TripleLift US salary range for this position. Actual salaries will vary depending on factors including but not limited to experience and performance. The range listed is just one component of TripleLift’s total compensation package for employees. Other rewards may include bonuses, an open Paid Time Off policy, and many region-specific benefits.

Pay is based on various non-discriminatory factors including but not limited to experience, education, and skills.

Benefits Available to Eligible Employees Include the following*:
  • Medical, Dental & Vision Plans
  • Unlimited PTO
  • 401k w/ employer match

*Full-time employees are eligible for comprehensive benefits (subject to the terms of applicable plans/policies/agreements, which will be made available to you after commencing employment).

Salary range transparency
$117,000$138,000 USD

Life at TripleLift

At TripleLift, we’re a team of great people who like who they work with and want to make everyone around them better. This means being positive, collaborative, and compassionate. We hustle harder than the competition and are continuously innovating.

Learn more about TripleLift and our culture by visiting our LinkedIn Life page.

Diversity, Equity, Inclusion and Accessibility at TripleLift

At TripleLift, we believe in the power of diversity, equity, inclusion and accessibility. Our culture enables individuals to share their uniqueness and contribute as part of a team. With our DE&I initiatives, TripleLift is a place that works for you, and where you can feel a sense of belonging and support. At TripleLift, we will consider and champion all qualified applicants for employment without regard to race, creed, color, religion, national origin, sex, age, disability, sexual orientation, gender identity, gender expression, genetic predisposition, veteran, marital, or any other status protected by law. TripleLift is proud to be an equal opportunity employer.

Learn more about our DEI efforts at https://triplelift.com/diversity-equity-and-inclusion/

Privacy Policy

Please see our Privacy Policies on our TripleLift and 1plusX websites.

TripleLift does not accept unsolicited resumes from any type of recruitment search firm. Any resume submitted in the absence of a signed agreement will become the property of TripleLift and no fee shall be due.